AI, cross-industry collaboration will continue to reshape healthcare in 2019, Optum says

At HIMSS19, cross-industry collaboration and adoption of emerging technologies are two health IT trends that will be the focus of Optum, a health IT …

At HIMSS19, cross-industry collaboration and adoption of emerging technologies are two health IT trends that will be the focus of Optum, a health IT vendor whose products include analytics, population health and pharmacy care.

Health systems and physician practices have a long history of information-sharing to support population health goals and improve the patient experience, said Mark Morsh, vice president of technology at Optum, and that trend will only accelerate in 2019.

Practical results of emerging tech

“In the past year, we have seen a concerted effort to convene stakeholders on emerging technology capabilities like blockchain and AI/advanced analytics, which can improve the effectiveness and efficiency of care,” said Morsh.

“This year, our presence at HIMSS shows how emerging technology can have practical results, taking a closer look at personalized medicine, AI and machine learning, and IoT, and how these advancements can improve financial performance and population health, enable risk-based reimbursement programs, and modernize the military and veterans’ health systems,” he added.

Those might appear to be lofty goals, but technology has improved how stakeholders in healthcare safeguard, interpret and share a trove of healthcare data. The industry often focuses on the power of technology, he said, but it’s really about clinicians’ ability to apply it in ways that allow them to practice at the top of their license.

A standout 2019 health IT trend for Morsh is the fast pace at which healthcare organizations are adopting emerging technologies, such as artificial intelligence and advanced analytics.

“We recently surveyed 500 healthcare executives, and three out of four indicated they’re in the process of, or are going to, implement an AI strategy,” he said. “More than 91 percent of respondents also expressed confidence that their organization will see a full return on investment in about five years. We have not seen that kind of momentum since the wave of electronic health record adoption earlier this decade.”

The proliferation of data, including social determinants paired with more traditional claims and clinical data, and the ability to mine that information with new tools, is yielding new insights about cost, quality and access, and opportunities to improve, he added.

“What I’m most excited about is the way this can move us closer to a denial-free future where care is personalized and where we can redeploy resources to improve the experience of patients and families,” he said.

Let technology do it

Morsh believes people in general have reached a point in time where humans are more comfortable allowing technology to augment their day-to-day experience and enhance their decision making.

“Although there are some generational differences, think of how quickly healthcare organizations have moved to adopt devices like tablets and smartphones,” he noted. “The reality now is that technology is central to the care delivery experience for providers and patients and the proliferation of devices, data and connectivity is changing how individuals work and receive care.”

“To be successful in a business setting, investments in advanced analytics and AI must have a defined objective and align with your overall technology strategy.”

Mark Morsh, Optum

On a related front, healthcare faces a talent shortage, especially when it comes to data science, he said.

“It’s difficult for health systems and physician practices that are worried about margins and changing reimbursement to compete for talent in an increasingly competitive and expensive global marketplace,” Morsh explained. “That’s one reason we are seeing a renewed emphasis on industry collaboratives and vendor partnerships to solve large-scale technology strategy and delivery needs.”

It’s also a reason that organizations are looking for practical applications of data and analytics – to make them more efficient and increase overall performance, he said.

Advice for HIMSS19 attendees

Asked what he would advise HIMSS19 attendees, Morsh stuck with his big theme: collaboration and AI.

“Collaborate for a shared vision: Healthcare is a very specialized industry and evidence-based decision making is at the core of our DNA,” he said. “For that reason, it’s really important to build the right team of multidisciplinary professionals. Sometimes you’ll be able to find the right skill set within your organization, but more often than not, success requires bringing in individuals from the outside, who can share a fresh perspective and keep you current with market movements.”

That said, Morsh recommends that healthcare organizations make sure the organizations they partner with have enough grounding in healthcare to understand their business models and operating environment so they don’t end up with technology investments that have little practical value.

“And focus on AI with ROI,” he added. “To be successful in a business setting, investments in advanced analytics and AI must have a defined objective and align with your overall technology strategy. One of the most interesting developments in healthcare is that more applied uses of artificial intelligence, like natural language processing for revenue cycle management or deep learning models that support disease prediction.”

These use-cases must be backed by a business case and defined problem where technology can augment the human – patient, provider or administrator – experience, he said.

Twitter: @SiwickiHealthIT

Email the writer: bill.siwicki@himssmedia.com

HIMSS19 Preview

An inside look at the innovation, education, technology, networking and key events at the HIMSS19 global conference in Orlando.

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Global Big Data & Analytics in Pharmaceuticals Market – Growing Demand for Strategic Innovation …

Albany, NY — (SBWIRE) — 01/22/2019 — A fresh report by ResearchMoz.us, titled, “Global Big Data and Analytics in Pharmaceuticals Market Size, …

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Albany, NY — (SBWIRE) — 01/22/2019 — A fresh report by ResearchMoz.us, titled, “Global Big Data and Analytics in Pharmaceuticals Market Size, Status and Forecast 2018–2025,” offers close insights on the major factor stimulating the growth and factors negatively impacting the overall growth of the global pharmaceuticals big data and analysis. The research study also segments market on the basis of various parameters and also finds out which segment is expected to account for maximum share in the global big data and analytics in the pharmaceuticals market. The report also provides competitive dynamics and major opportunities provided by the players in the global big data and analytics in the pharmaceuticals market.

The big data analytics helps the organization harness their data to evaluate new opportunities prevailing in the global big data and analytics in the pharmaceuticals market. Moreover, the big data BI function is evolving where natural language processing and artificial intelligence procedure are taking a business decision to the next level.

The growing significance of big data and analytics in the pharmaceuticals industry, mainly in drug discovery process is another factor propelling the growth of this market in the upcoming years. The prominent players are investing more in some form of drug discovery analytics platform in their various research procedure. However, the increasing big data analytics in the pharmaceuticals operations procedure is stimulating the growth of the big data and analysis in the pharmaceuticals market.

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The growing investment by the pharmaceuticals sector in the research and discovery activities in order to develop new drug is triggering growth of the big data and analytics in the pharmaceuticals market. However, the big data analytics help the key company to harness their data in order to identify new prevailing opportunities and this further help in making strategic move in order to boost market growth in the coming years. Furthermore, the big data BI function are developing, in this the natural processing and artificial intelligence procedures are taking the business decision making it to the next level.

The adoption of big data analytics in the pharmaceuticals operations has been focused mostly in research and development in order to boost market growth. Further, the vendors are exploring more by utilizing the big data analytics in the operational procedure. Apart from this, with the increasing competition among the key players are also more inclined towards determining drug effectiveness and designing a strategies in order to support the growth of this market in the foreseeable future.

Although usage of big data analytics in the operational process domain will further help the pharmaceuticals industry to gain prominence in the innovation and processing. These are some of the key factors significantly supporting the overall growth of the big data and analytics in pharmaceuticals market. The digital transformation is the key priority of the pharmaceuticals sector and this further increase the adoption of artificial intelligence and big data and analysis sector is likely to grow in the year to come.

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Big Data Analytics in Retail Market Rising Technology and Business Outlook 2019 to 2025

Big data analytics in retail helps enterprises to identify potential customers based on their purchase history and shopping patterns Predictive analytics, …

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Harrisburg, NC — (SBWIRE) — 01/20/2019 — Big data is a massive volume of structured and unstructured data stored on daily basis. Big data analytics technique is used to search hidden patterns, market trends, and other useful information that may help organizations to take effective business decisions.

Big data analytics in retail helps enterprises to identify potential customers based on their purchase history and shopping patterns Predictive analytics, descriptive analytics, and prescriptive analytics are some of the major applications of big data analytics in retail industry.Rise in demand for big data analytics for better decision-making and customer experience, and growth in demand for in-store analytics in retail drive the market growth. However, integration of big data with traditional systems is expected to hinder the market growth during the forecast period. Moreover, adoption of retail analytics by various e-commerce websites presents a major opportunity for the key players in the retail market.

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Important Features that are under offering & key highlights of the report :

1) What all companies are currently profiled in the report?

Following are list of players that are currently profiled in the the report “IBM, SAP, Microsoft, Oracle, SAS, Adobe, Microstrategy, Information Builders, Tableau Software, Qlik Technologies “

2) Can we add or profiled new company as per our need?

Yes, we can add or profile new company as per client need in the report. Final confirmation to be provided by research team depending upon the difficulty of survey.

3) What all regional segmentation covered? Can specific country of interest be added?

Currently, research report gives special attention and focus on following regions:

United States, Europe, China, Japan, Southeast Asia, India & Central & South America

4) Can inclusion of additional Segmentation / Market breakdown is possible?

Yes, inclusion of additional segmentation / Market breakdown is possible subject to data availability and difficulty of survey. However a detailed requirement needs to be shared with our research before giving final confirmation to client.

Big Data Analytics in Retail Market by Types :

Merchandising & In-store Analytics

Marketing & Customer Analytics

Supply Chain Analytics

Others

Big Data Analytics in Retail Market by Applications :

Merchandising & In-store Analytics

Marketing & Customer Analytics

Supply Chain Analytics

Others

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Contents of the 15 Chapters for This Big Data Analytics in Retail Market Study:-

Chapter 1, to describe Big Data Analytics in Retail Introduction, product scope, market overview, market opportunities, market risk, market driving force;

Chapter 2, to analyze the top manufacturers of Big Data Analytics in Retail, with sales, revenue, and price of Big Data Analytics in Retail, in 2017 and 2019;

Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2017 and 2019;

Chapter 4, to show the global market by regions, with sales, revenue and market share of Big Data Analytics in Retail, for each region, from 2013 to 2019;

Chapter 5, 6, 7, 8 and 9, to analyze the key regions, with sales, revenue and market share by key countries in these regions;

Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2013 to 2019;

Chapter 12, Big Data Analytics in Retail market forecast, by regions, type and application, with sales and revenue, from 2019 to 2026;

Chapter 13, 14 and 15, to describe Big Data Analytics in Retail sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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The global big data analytics in retail market is segmented on the basis of solution, application, and geography. The solution segment is divided into analytical tools, data management software, mobile applications, and reporting & visualization tools. Based on application, the market is classified into merchandising & in-store analytics, marketing & customer analytics, supply chain analytics, and others. Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Report Highlights:

The report provides a detailed analysis on current and future market trends to identify the investment opportunities

Market forecasts till 2027, using estimated market values as the base numbers

Key market trends across the business segments, Regions and Countries

Key developments and strategies observed in the market

Market Dynamics such as Drivers, Restraints, Opportunities and other trends

In-depth company profiles of key players and upcoming prominent players

Growth prospects among the emerging nations through 2027

Market opportunities and recommendations for new investments.

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Big Data Analytics in Healthcare Market – In-Depth Analysis with Booming Trends, Growth and …

Big data analysis in healthcare field is a complex process that examines large amounts of data to discover hidden patterns, market trends, unknown …

Big data analysis in healthcare field is a complex process that examines large amounts of data to discover hidden patterns, market trends, unknown correlations, and customer preferences, helping organizations make informed clinical and business decisions. Healthcare analytics is enormous across a variety of areas including clinical distribution, operational efficiency and personalized medicine.

Analysis of population healthcare solutions the growing demand and growing acceptance of cloud analytics among numerous end users is one of the key drivers of global big data analysis in healthcare market growth. Equally, technological developments and applications in diverse industries are expected to provide a good opportunity for massive data analysis in medical market growth.

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Big data analysis in healthcare is projected to grow at a CAGR of +16% up to 2026

Companies Profiled in this Report includes, All Scripts, Cerner, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, and Oracle Corporation.

Big data analytics in healthcare Market segment by Application:

–Hospitals & Clinics

–Research Organization

–Finance & Insurance Agencies

North America, Latin America, Asia-Pacific, Africa, and Europe have been analyzed to study about different verticals of market such as Growth of the technology. Additionally, it offers regional analysis based on developing and developed countries as per the demanding structure of the Big Data Analytics in Healthcare market. A detailed outline of the Big Data Analytics in Healthcare industries has been provided by profiling the leading key players. The top-level companies profiled in this research report includes GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft and others

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This research report briefs:

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3. It offers five year calculation of global Big Data Analytics in Healthcare sector.

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5. Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities.

6. It offers regional analysis of global Big Data Analytics in Healthcare industries along with business profiles of several stakeholders.

7. It offers massive data about trending factors that will influence the progress of the Big Data Analytics in Healthcare market.

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Big Data Analytics In Healthcare Market: The Booming Market showing Strong Position in Future …

Global Big Data Analytics In Healthcare Market 2019 by Manufacturers, Regions, Type and Application, Forecast to 2025:This report tracks the major …

Global Big Data Analytics In Healthcare Market 2019 by Manufacturers, Regions, Type and Application, Forecast to 2025:This report tracks the major market events including product launches, development trends, mergers & acquisitions and the innovative business strategies opted by key market players. Along with strategically analysing the key markets, the report also focuses on industry-specific drivers, restraints, opportunities and challenges in the Big Data Analytics In Healthcare market.

This research report offers in-depth analysis of the market size (revenue), market share, major market segments and different geographic regions, forecast for the next seven years, key market players and industry trends.

Top Companies in the Global Big Data Analytics In Healthcare Market: Cisco, Cognizant, Health Catalyst, IBM, McKesson, MEDEANALYTICS, Microsoft, Oracle, SAS Institute, Vizient and Others.

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Global Big Data Analytics In Healthcare Market Split by Product Type and Applications:

This report segments the global Big Data Analytics In Healthcare market on the basis of Product are:

  • Software
  • Service

On the basis of Application, the Global Big Data Analytics In Healthcare market is segmented into:

  • Hospitals & Clinics
  • Finance & Insurance Agencies
  • Research Organization

Regional Analysis For Big Data Analytics In Healthcare Market:

For comprehensive understanding of market dynamics, the global Big Data Analytics In Healthcare market is analyzed across key geographies namely: United States, China, Europe, Japan, South-east Asia, India and others. Each of these regions is analyzed on basis of market findings across major countries in these regions for a macro-level understanding of the market.

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-Conclusive study about the growth plot of Big Data Analytics In Healthcare market for forthcoming years.

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-Favourable impression inside vital technological and market latest trends striking the Big Data Analytics In Healthcare market.

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What are the market factors that are explained in the report?

-Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

-Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.

-Analytical Tools: The Global Big Data Analytics In Healthcare Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.

Finally, Big Data Analytics In Healthcare Market report is the believable source for gaining the Market research that will exponentially accelerate your business. The report gives the principle locale, economic situations with the item value, benefit, limit, generation, supply, request and Market development rate and figure and so on. This report additionally Present new task SWOT examination, speculation attainability investigation, and venture return investigation.

Customization of the Report: This report can be customized as per your needs for additional data up to 3 companies or countries or 40 analyst hours.

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